What is Angada?
Angada turns GitHub pull-request activity into review evidence, coordinated follow-through in Slack, and a source-cited wiki of your codebase.
Angada watches what happens on your team's GitHub pull requests and turns it into three connected things: AI reviews with evidence-linked findings, a coordination loop in Slack that keeps every PR moving, and an AI Wiki that documents your codebase from the same source of truth — exact files, exact lines.
A review finding, its suggested change, and the resolution thread on a pull request.
One workspace, one connected repo set, and everything downstream — reviews, Slack updates, wiki — reads from it.
The loop
- Your team opens pull requests in GitHub, as usual.
- Angada reviews them and posts findings with severity, confidence, and file-and-line evidence — so a reviewer reads the claim and the code it came from, side by side.
- Every pull request gets a living Slack card — one message per PR, updated in place — plus routing, digests, an attention queue, and nudges, so the bottleneck is always visible and always named.
- The same indexed repository powers an AI Wiki your team can navigate, with citations that jump straight to the source at the exact commit it was generated from.
The four areas
Angada connects what the code says (findings and wiki citations) with who needs to act (Slack cards, mentions, nudges, and SLA reporting). The evidence stays one click from the pull request and the people responsible for it.
What you need
- A GitHub organization or account — GitHub is the only supported code host.
- A Slack workspace — Slack is the only supported chat platform.
- A workspace administrator to run the Quickstart once.